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Creating a model to detect dairy cattle farms with poor welfare using a national database
- Krug, C., Haskell, M.J., Nunes, T., Stilwell, G.
- Preventive veterinary medicine 2015 v.122 no.3 pp. 280-286
- cows, dairy cattle, dairy farming, databases, decision support systems, livestock and meat industry, males, models
- The objective of this study was to determine whether dairy farms with poor cow welfare could be identified using a national database for bovine identification and registration that monitors cattle deaths and movements. The welfare of dairy cattle was assessed using the Welfare Quality® protocol (WQ) on 24 Portuguese dairy farms and on 1930 animals. Five farms were classified as having poor welfare and the other 19 were classified as having good welfare. Fourteen million records from the national cattle database were analysed to identify potential welfare indicators for dairy farms. Fifteen potential national welfare indicators were calculated based on that database, and the link between the results on the WQ evaluation and the national cattle database was made using the identification code of each farm. Within the potential national welfare indicators, only two were significantly different between farms with good welfare and poor welfare, ‘proportion of on-farm deaths’ (p<0.01) and ‘female/male birth ratio’ (p<0.05). To determine whether the database welfare indicators could be used to distinguish farms with good welfare from farms with poor welfare, we created a model using the classifier J48 of Waikato Environment for Knowledge Analysis. The model was a decision tree based on two variables, ‘proportion of on-farm deaths’ and ‘calving-to-calving interval’, and it was able to correctly identify 70% and 79% of the farms classified as having poor and good welfare, respectively. The national cattle database analysis could be useful in helping official veterinary services in detecting farms that have poor welfare and also in determining which welfare indicators are poor on each particular farm.